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/deep learning and computer vision techniques Experience in medical image analysis of 2D or 3D image data Publications in top AI conferences (CVPR, NeurIPS) or biomedical journals (Nature, Nature Medicine
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* High School diploma or equivalent. 1+ year/s of customer service experience. Basic computer skills Ability to Multitask in a fast-paced, multidisciplinary clinical setting. Demonstrated strong oral and
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Education: Ph.D. or M.S. in Computer Science, AI, Computer Vision, or related field Experience: 3+ years in computer vision and deep learning, with specific focus on microscopic imaging, generation
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/assisting patients and families, providing check in services for Breast Imaging and X-ray patients, scheduling BI patients for appointments, answering telephone calls and processing orders as needed
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are senior undergraduate, graduate, or postdoc students, including those interested in gaining experience in AI and cybersecurity. Responsibilities* Design and implement machine learning techniques for web
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, communication, and customer service skills Ability to work in a fast-paced, multidisciplinary environment Proficient computer and keyboarding skills. Desired Qualifications* Previous experience in a ambulatory
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anatomical and pathological diagnostic information and images as appropriate for individual disease processes. Use independent judgement to acquire the optimum diagnostic information for each examination
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Desired Qualifications* PACS experience as well as proficient computer entry skills. Experience with digital imaging in an inpatient and trauma setting. Familiar with GE C-arms, Medtronic O-arm, Shimadzu
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for an Artificial Intelligence and Machine Learning (AI/ML) scientist to develop advanced computer vision workflows to support the identification of biomolecules in cryo-electron tomography (cryo-ET) image volumes
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appropriate for individual disease processes. Use independent judgement to acquire the optimum diagnostic information for each examination performed. Perform carotid, peripheral, venous, peripheral arterial